Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program.

e13558 Background: Clinical trials are essential for advancing cancer therapies, yet accrual rates remain under 10% due to various barriers. The Clinical Trials Navigator (CTN) program was developed to bridge this gap by guiding patients and healthcare professionals toward appropriate clinical trials. To further streamline this process, the CTN has integrated LookUpTrials, an AI-powered clinical trial management mobile application, into its workflow. We evaluated the preliminary effectiveness of pairing LookUpTrials within the CTN program in enhancing workflow efficiency and accessibility. Methods: We conducted a hybrid type-1 effectiveness-implementation study pre- and post-implementation of LookUpTrials into CTN. We assessed preliminary effectiveness of LookUpTrials by qualitative assessment based on Consolidated Framework for Implementation Research (CFIR) and surveyed user experience and workflow efficiency. Pre-implementation of LookUpTrials, navigators from CTN used to track ongoing clinical trials using Microsoft Word document. In July 2024, we piloted LookUpTrials and have since uploaded over 107 trials into the application. Currently, CTN navigators use LookupTrials to identify and share trial information with patients and physicians, with an ongoing pilot of LookUpTrials with CTN navigators into Multidisciplinary Case Conferences (MCCs). Results: Preliminary qualitative assessment found that LookupTrials supported CTN navigators in improving the speed and accuracy of identifying suitable clinical trials, with greater efficiency in filtering and sharing trial information, while enhancing physician collaboration. Furthermore, feedback indicated LookUpTrials increased trial visibility and potential improvements in patient referrals through CTN. The application was also recognized for enhancing accessibility, enabling healthcare professionals to discover trials they may not have been aware of due to the difficulty of manually searching for trials. Further data collection is ongoing to quantify these improvements, including time spent identifying trials and trial referral rates. Conclusions: Integrating LookupTrials into the CTN workflow represents a significant step toward modernizing clinical trial navigation and has shown promise to streamline navigator efficiency and improve trial discovery. The digitally enhanced CTN program aims to address suboptimal clinical trial accrual rate by simplifying trial identification and sharing, offering a novel approach to improving patient access to cutting-edge therapies. Further integration of CTNs into MCCs is in progress, with the potential to standardize clinical trial discussions across Ontario, ultimately enhancing patient outcomes.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.e13558
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program.

Milica Paunic, Piya Sen Gupta, S. B. Kalia, Tony Hung et al.
Journal of Clinical Oncology
Artificial Intelligence in Healthcare and Education
article

Modernizing clinical trial accessibility: Integrating the AI-powered LookUpTrials app into the CTN program.

Milica Paunic, Piya Sen Gupta, S. B. Kalia, Tony Hung, Roaa Hirmiz, Mahmoud Hossami, Renée Nassar, Otto O. Yang, Megan Delisle, Olla Hilal, Caroline Hamm, Anthony Luginaah, Depen Sharma, Ria Patel, Michael Touma, Govana Sadik, Laurice Togonon Arayan, Salah Alhajsaleh, Christina Trieu, Anaam Jaet
article en

Abstract

e13558 Background: Clinical trials are essential for advancing cancer therapies, yet accrual rates remain under 10% due to various barriers. The Clinical Trials Navigator (CTN) program was developed to bridge this gap by guiding patients and healthcare professionals toward appropriate clinical trials. To further streamline this process, the CTN has integrated LookUpTrials, an AI-powered clinical trial management mobile application, into its workflow. We evaluated the preliminary effectiveness of pairing LookUpTrials within the CTN program in enhancing workflow efficiency and accessibility. Methods: We conducted a hybrid type-1 effectiveness-implementation study pre- and post-implementation of LookUpTrials into CTN. We assessed preliminary effectiveness of LookUpTrials by qualitative assessment based on Consolidated Framework for Implementation Research (CFIR) and surveyed user experience and workflow efficiency. Pre-implementation of LookUpTrials, navigators from CTN used to track ongoing clinical trials using Microsoft Word document. In July 2024, we piloted LookUpTrials and have since uploaded over 107 trials into the application. Currently, CTN navigators use LookupTrials to identify and share trial information with patients and physicians, with an ongoing pilot of LookUpTrials with CTN navigators into Multidisciplinary Case Conferences (MCCs). Results: Preliminary qualitative assessment found that LookupTrials supported CTN navigators in improving the speed and accuracy of identifying suitable clinical trials, with greater efficiency in filtering and sharing trial information, while enhancing physician collaboration. Furthermore, feedback indicated LookUpTrials increased trial visibility and potential improvements in patient referrals through CTN. The application was also recognized for enhancing accessibility, enabling healthcare professionals to discover trials they may not have been aware of due to the difficulty of manually searching for trials. Further data collection is ongoing to quantify these improvements, including time spent identifying trials and trial referral rates. Conclusions: Integrating LookupTrials into the CTN workflow represents a significant step toward modernizing clinical trial navigation and has shown promise to streamline navigator efficiency and improve trial discovery. The digitally enhanced CTN program aims to address suboptimal clinical trial accrual rate by simplifying trial identification and sharing, offering a novel approach to improving patient access to cutting-edge therapies. Further integration of CTNs into MCCs is in progress, with the potential to standardize clinical trial discussions across Ontario, ultimately enhancing patient outcomes.

Journal of Clinical OncologyVol. 43(16_suppl)
Western University (CA), Hartford Hospital (US), University of Ottawa (CA), University of Toronto (CA), UCLA Health (US), Windsor Regional Hospital (CA), Hartford Financial Services (United States), University of Manitoba (CA), University of Windsor (CA)
Openalex Percentile: Top 92%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.